How do I troubleshoot my Kubernetes ML deployment?
An example of an AI chatbot conversation about troubleshooting Kubernetes ML deployments.
How do I troubleshoot my Kubernetes ML deployment?
To troubleshoot your Kubernetes ML deployment, start by checking the pod status using kubectl get pods. What issues are you facing?
Some of my pods are in a CrashLoopBackOff state.
A CrashLoopBackOff usually indicates that your application is failing to start. You can check the logs of the pod using kubectl logs <pod-name> to get more details.
I see an error related to missing environment variables.
It sounds like your deployment might be missing some required environment variables. Check your deployment configuration and ensure all necessary variables are set.
How can I set those environment variables in my deployment?
You can set environment variables in your deployment YAML file under the env section for each container. Would you like an example?
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